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CDAO Melbourne Logo
Day One Conference - Wednesday 25th August
07:00

VIP Private Breakfast

VIP Private Breakfast

August 25 | 07:00 - 08:00

Register now

Speaking:

08:10

Register, grab coffee and a breakfast bite.

Mix, mingle and say hello to peers old and new.

Register, grab coffee and a breakfast bite.

August 25 | 08:10 - 08:40

Mix, mingle and say hello to peers old and new.

Register now

Speaking:

08:40

Welcome from Corinium and the Chairperson

Speaking:

Welcome from Corinium and the Chairperson

August 25 | 08:40 - 08:45

Register now

Speaking:

08:45

CDAO Melbourne 2021 Opening Address

International Keynote Presentation: Enhancing Data and Analytics to Deliver the Exceptional

Speaking:

CDAO Melbourne 2021 Opening Address

August 25 | 08:45 - 09:10

International Keynote Presentation: Enhancing Data and Analytics to Deliver the Exceptional

Register now

Speaking:

09:10

Thought Leader Presentation: Successfully Leveraging the Latest Tech for Innovation

To succeed in today’s hyper-competitive marketplace, a data-driven enterprise needs data products that are essential and integral to its business. However, enterprises face many challenges and bottlenecks as they work to build scalable data products, especially for complex business use-cases. To overcome those challenges, industry leaders are learning how to combine scalable analytics engines, data science platforms, and the right mix of people and processes. In this session, we will present industry examples, reference data product framework and the best practices to march toward success.

Thought Leader Presentation: Successfully Leveraging the Latest Tech for Innovation

August 25 | 09:10 - 09:35

To succeed in today’s hyper-competitive marketplace, a data-driven enterprise needs data products that are essential and integral to its business. However, enterprises face many challenges and bottlenecks as they work to build scalable data products, especially for complex business use-cases. To overcome those challenges, industry leaders are learning how to combine scalable analytics engines, data science platforms, and the right mix of people and processes. In this session, we will present industry examples, reference data product framework and the best practices to march toward success.

Register now

Speaking:

09:35

Keynote Discussion Panel: Data–driven Decision Making during a Crisis

Data is the fuel for decision making – day-to-day decisions and strategic decisions. During the COVID-19 pandemic, data was the lifeblood of every country’s response. This panel discussion will explore what that decision making looked like in Australia, and what were the lessons learned.

  • What does interdisciplinary knowledge really look like?
  • Data sharing – and why the value of those models can only increase with sharing
  • Examining the usefulness of information in a context like this
  • How to consider all the evidence in decision making
  • How do we measure the effectiveness of different data decisions?
  • How do you explain it and communicate it to the public?
  • The balance between epidemiological modelling and macro-economic forecasts in decision making
  • How has COVID impacted relative momentum internationally?

Speaking:

Nonna Milmeister

Chief Data & Analytics Officer, RMIT

Keynote Discussion Panel: Data–driven Decision Making during a Crisis

August 25 | 09:35 - 10:10

Data is the fuel for decision making – day-to-day decisions and strategic decisions. During the COVID-19 pandemic, data was the lifeblood of every country’s response. This panel discussion will explore what that decision making looked like in Australia, and what were the lessons learned.

  • What does interdisciplinary knowledge really look like?
  • Data sharing – and why the value of those models can only increase with sharing
  • Examining the usefulness of information in a context like this
  • How to consider all the evidence in decision making
  • How do we measure the effectiveness of different data decisions?
  • How do you explain it and communicate it to the public?
  • The balance between epidemiological modelling and macro-economic forecasts in decision making
  • How has COVID impacted relative momentum internationally?
Register now

Speaking:

10:10

Thought Leader Presentation: Data Governance, Privacy and Ethics as we Move Closer to Pervasive Advanced Analytics and AI

  • Looking at the considerations, models and practices that can safeguard the ethical use of data
  • Ensuring AI complies with human rights law
  • Why AI needs to be used in ways that minimise harm
  • Why humans need to be accountable for the way AI is used
  • Fairness in Machine Learning – how is this managed?
  • Machine learning for good governance

Speaking:

Thought Leader Presentation: Data Governance, Privacy and Ethics as we Move Closer to Pervasive Advanced Analytics and AI

August 25 | 10:10 - 10:35

  • Looking at the considerations, models and practices that can safeguard the ethical use of data
  • Ensuring AI complies with human rights law
  • Why AI needs to be used in ways that minimise harm
  • Why humans need to be accountable for the way AI is used
  • Fairness in Machine Learning – how is this managed?
  • Machine learning for good governance
Register now

Speaking:

10:35

Get Refreshed! Mingle

Get Refreshed! Mingle

August 25 | 10:35 - 11:05

Register now

Speaking:

11:05

2021 Headliner: Leveraging Behavioural Analytics for Maximum Business Impact

2021 Headliner: Leveraging Behavioural Analytics for Maximum Business Impact

August 25 | 11:05 - 11:30

Register now

Speaking:

11:30

Thought Leader Presentation: Building Scalable Data and AI Environments in the Industrial Setting

  • How do business that don’t have in house expertise figure out what is hype around AI versus what is truly value adding
  • Identifying the business opportunities for AI
  • Emerging technologies that connect and validate data
  • Everyone talks about AI, but what does it really mean? Is it more than just a fancy programme?
  • Is it realistically applicable?
  • What is the technology stack around that data?
  • Outlining an AI roadmap to the future

Thought Leader Presentation: Building Scalable Data and AI Environments in the Industrial Setting

August 25 | 11:30 - 11:55

  • How do business that don’t have in house expertise figure out what is hype around AI versus what is truly value adding
  • Identifying the business opportunities for AI
  • Emerging technologies that connect and validate data
  • Everyone talks about AI, but what does it really mean? Is it more than just a fancy programme?
  • Is it realistically applicable?
  • What is the technology stack around that data?
  • Outlining an AI roadmap to the future
Register now

Speaking:

11:55

Keynote Panel Discussion: The Future of Data and Analytics post-COVID-19

Correlation tells you how numbers interacted in the past, but it doesn’t tell you the structure of that data. After a shock, the ability for data leaders to forecast future scenarios is so much harder, as you can’t just draw on previous trends. This panel will examine:

  • What will the post-COVID business look like?
  • To what extent will data and analytics play a more important role in most organisations?
  • What digital trends have been accelerated for organisations?
  • How do data and analytics leaders support organisations during a crisis?
  • Do we see a reverting back to a tried and tested (and not necessarily right) data approach during a crisis?
  • What happens when you cannot use historical data to make decisions?
  • How have businesses had to change their approach around systems and frameworks?

Speaking:

Revital Rosenberg

Head of Data and Insights, Officeworks Ltd

Suresh Bhaskaran

Head of Investment Analytics & Data Services APAC, BNP Paribas

Yuriy Onyshchuk

Head of Data and Analytics, Energy Safe Victoria

Kanella Salapatas

Group Head of HR Data and Analytics, QBE

Keynote Panel Discussion: The Future of Data and Analytics post-COVID-19

August 25 | 11:55 - 12:30

Correlation tells you how numbers interacted in the past, but it doesn’t tell you the structure of that data. After a shock, the ability for data leaders to forecast future scenarios is so much harder, as you can’t just draw on previous trends. This panel will examine:

  • What will the post-COVID business look like?
  • To what extent will data and analytics play a more important role in most organisations?
  • What digital trends have been accelerated for organisations?
  • How do data and analytics leaders support organisations during a crisis?
  • Do we see a reverting back to a tried and tested (and not necessarily right) data approach during a crisis?
  • What happens when you cannot use historical data to make decisions?
  • How have businesses had to change their approach around systems and frameworks?
Register now

Speaking:

12:30

Mix and mingle over lunch.

Mix and mingle over lunch.

August 25 | 12:30 - 13:40

Register now

Speaking:

TRACK A Data Governance and Risk Management

1:40

Data Governance Gurus Panel: Key Concerns - Data Governance, Privacy, AI and Ethics

One of hand we talk about ethics as doing the right thing with data - but we don’t talk about doing the right thing by whom. Whose interest are we operating in? This discussion will go to the heart of the following issues:

  • Looking at the considerations, models and practices that can safeguard the ethical use of data.
  • Organisational culture – do we believe that the customers or the organisation own a person’s data?
  • Making sure customers know what their rights and responsibilities are
  • What does the group think of the notion of a legal definition of data sovereignty? Is it less a case of ownership or is it more about rights and responsibilities?

Speaking:

Benedict Chiu

Head of Technology Delivery, Australian Conservation Foundation

Data Governance Gurus Panel: Key Concerns - Data Governance, Privacy, AI and Ethics

June 3 | 13:40 - 14:15

One of hand we talk about ethics as doing the right thing with data - but we don’t talk about doing the right thing by whom. Whose interest are we operating in? This discussion will go to the heart of the following issues:

  • Looking at the considerations, models and practices that can safeguard the ethical use of data.
  • Organisational culture – do we believe that the customers or the organisation own a person’s data?
  • Making sure customers know what their rights and responsibilities are
  • What does the group think of the notion of a legal definition of data sovereignty? Is it less a case of ownership or is it more about rights and responsibilities?
Register now

Speaking:

TRACK B Scalable and Sustainable

1:40

Thought Leadership Session

Speaking:

Thought Leadership Session

August 25 | 13:40 - 14:15

Register now

Speaking:

TRACK C Interactive Discussion Groups Day 2

2:00

Discussion Group: Data risk and governance in a remote working environment – the cultural and human aspect of disruption

For many companies their risk appetite and posture has changed with staff working from home. “Out of sight and out of mind” has never been so relevant as it is during this pandemic where we have entire functions straining approved access points and networks, all the while having to trust that client side aspects are secure.

  • Security, privacy and data protection in a remote working environment
  • How do we make our systems better for working remotely?
  • Security implications of fast adoption of cloud storage

Discussion Group: Data risk and governance in a remote working environment – the cultural and human aspect of disruption

August 25 | 14:00 - 14:35

For many companies their risk appetite and posture has changed with staff working from home. “Out of sight and out of mind” has never been so relevant as it is during this pandemic where we have entire functions straining approved access points and networks, all the while having to trust that client side aspects are secure.

  • Security, privacy and data protection in a remote working environment
  • How do we make our systems better for working remotely?
  • Security implications of fast adoption of cloud storage
Register now

Speaking:

TRACK A Data Governance and Risk Management

2:15

Developing a 360-degree View of Child and Citizen to support the provision of Welfare and Justice services in the Northern Territory

To make the best possible decisions about a child’s welfare, a child protection case worker needs the same information as a parent would. This includes information about the child’s school attendance, education progress, interactions with police and justice agencies, information about their health, and if they are living in foster care information about their carer’s. This information might be easily accessible if you are a parent, but if you are a government case worker it’s much more difficult. That’s because it involves data sharing between government agencies, and the added complexity of integrating data collected by different people, in different systems, and with different standards.

This was the key driver for the NT Governments vision for a 360-degree view of Child and Citizen – a single place government case workers can access information about a child’s carers, and their interactions with government agencies and NGOs. This vision was summarised by Territory Families case workers, as the idea of “one child, one case”.

However, achieving one child one case is a multi-layered challenge, requiring the alignment of many different data management capabilities across numerous government agencies. This includes defining a suitable authorising environment for data sharing, developing a data security and access model to ensure only authorised access, integrating data from disparate systems, creating a single source of truth for Child master data, and implementing a multi-agency data governance framework to facilitate stewardship across different agencies and systems.

While in the midst of a once in a generation digital transformation across numerous government departments, the NT Government has seized the opportunity to realise its vision for a 360-degree view of Child and Citizen. To assist in this complex endeavour, NTG have engaged IMS to provide ongoing advice, and to develop the required technology and data strategies, architectures and governance frameworks needed to deliver the 360-degree view.

This presentation will discuss the key steps taken so far, including the design of the 360 degree view itself, development of a cross-agency master data management strategy and architecture, and multi-agency Data integration platform. 

The case study will be presented by George Bassili from IMS, and by a key member of the NTG central design authority.

 

Speaking:

George Bassili

Principal, IM Systems

Developing a 360-degree View of Child and Citizen to support the provision of Welfare and Justice services in the Northern Territory

August 25 | 14:15 - 14:50

To make the best possible decisions about a child’s welfare, a child protection case worker needs the same information as a parent would. This includes information about the child’s school attendance, education progress, interactions with police and justice agencies, information about their health, and if they are living in foster care information about their carer’s. This information might be easily accessible if you are a parent, but if you are a government case worker it’s much more difficult. That’s because it involves data sharing between government agencies, and the added complexity of integrating data collected by different people, in different systems, and with different standards.

This was the key driver for the NT Governments vision for a 360-degree view of Child and Citizen – a single place government case workers can access information about a child’s carers, and their interactions with government agencies and NGOs. This vision was summarised by Territory Families case workers, as the idea of “one child, one case”.

However, achieving one child one case is a multi-layered challenge, requiring the alignment of many different data management capabilities across numerous government agencies. This includes defining a suitable authorising environment for data sharing, developing a data security and access model to ensure only authorised access, integrating data from disparate systems, creating a single source of truth for Child master data, and implementing a multi-agency data governance framework to facilitate stewardship across different agencies and systems.

While in the midst of a once in a generation digital transformation across numerous government departments, the NT Government has seized the opportunity to realise its vision for a 360-degree view of Child and Citizen. To assist in this complex endeavour, NTG have engaged IMS to provide ongoing advice, and to develop the required technology and data strategies, architectures and governance frameworks needed to deliver the 360-degree view.

This presentation will discuss the key steps taken so far, including the design of the 360 degree view itself, development of a cross-agency master data management strategy and architecture, and multi-agency Data integration platform. 

The case study will be presented by George Bassili from IMS, and by a key member of the NTG central design authority.

 

Register now

Speaking:

TRACK B Scalable and Sustainable

2:15

Case Study: Building Data and Analytics Self-service into your organisation

This case study will look at transforming a large legacy Information Management Team into a modern Data and Analytics Hub. Daniel led this 18-month transformation, and the talk will touch on the topics of leadership and change during COVID as well as organisational design, operating model and architecture that enables business teams whilst supporting engineering innovation and governance. It will also look at:

  • Ensuring your governance and data literacy fundamentals are in place and appropriate for the audience
  • Maximising what data is available to your business units and how they can interpret it
  • How to achieve real success increasing data literacy across the organisation
  • How do you know you trust the data you have been given?

Speaking:

Daniel Morse

Head of Technology - Customer, Australia Post

Case Study: Building Data and Analytics Self-service into your organisation

August 25 | 14:15 - 14:50

This case study will look at transforming a large legacy Information Management Team into a modern Data and Analytics Hub. Daniel led this 18-month transformation, and the talk will touch on the topics of leadership and change during COVID as well as organisational design, operating model and architecture that enables business teams whilst supporting engineering innovation and governance. It will also look at:

  • Ensuring your governance and data literacy fundamentals are in place and appropriate for the audience
  • Maximising what data is available to your business units and how they can interpret it
  • How to achieve real success increasing data literacy across the organisation
  • How do you know you trust the data you have been given?
Register now

Speaking:

TRACK C Interactive Discussion Groups Day 2

2:15

Talent Gap Interactive (extended session): Building a Winning Team: To Hire or Train? Organisational Structure and Skills Gaps – Getting the Structure Right

Determining the right blend of job functions for your data analytics projects.

Upskill, adapt and evolve. Learn how organisations are enabling change through diversity. This discussion session will look at:

  • Broadening the funnel of diverse applicants.
  • Encouraging more diverse groups to apply.
  • What is a diverse workforce – examining the blend of personality traits that make for a winning team.
  • How to encourage more diverse talent beyond just the recruitment phase - Keeping diverse groups engaged long term.
  • Achieving true diversity of teams – not just for show
  • How to create diversity of thought?
  • How it can correct inherent bias
  • Data Literacy;
  • Talent Gap;
  • Leadership
  • Upskilling

 

Speaking:

Victoria Ngo

Head of Digital & Client Analytics, Vanguard Investments

Rakesh Kalyankar

Head of Data & Insights, AusNet Services

Christine Lee

Head of Customer Insights and Analytics, Marketing, SEEK Group

Sandhya Iyer

Head of Data Governance, Strategy & Culture, Latitude Financial Services

Talent Gap Interactive (extended session): Building a Winning Team: To Hire or Train? Organisational Structure and Skills Gaps – Getting the Structure Right

August 25 | 14:15 - 15:25

Determining the right blend of job functions for your data analytics projects.

Upskill, adapt and evolve. Learn how organisations are enabling change through diversity. This discussion session will look at:

  • Broadening the funnel of diverse applicants.
  • Encouraging more diverse groups to apply.
  • What is a diverse workforce – examining the blend of personality traits that make for a winning team.
  • How to encourage more diverse talent beyond just the recruitment phase - Keeping diverse groups engaged long term.
  • Achieving true diversity of teams – not just for show
  • How to create diversity of thought?
  • How it can correct inherent bias
  • Data Literacy;
  • Talent Gap;
  • Leadership
  • Upskilling

 

Register now

Speaking:

TRACK A Data Governance and Risk Management

2:50

Presentation: Data Governance, Privacy and Ethics as we Move Closer to Pervasive Advanced Analytics and AI

  • Looking at the considerations, models and practices that can safeguard the ethical use of data
  • Ensuring AI complies with human rights law
  • Why AI needs to be used in ways that minimise harm
  • Why humans need to be accountable for the way AI is used
  • Fairness in Machine Learning – how is this managed?
  • Machine learning for good governance

Speaking:

Jade Haar

Head of Data Ethics, NAB

Presentation: Data Governance, Privacy and Ethics as we Move Closer to Pervasive Advanced Analytics and AI

August 25 | 14:50 - 15:25

  • Looking at the considerations, models and practices that can safeguard the ethical use of data
  • Ensuring AI complies with human rights law
  • Why AI needs to be used in ways that minimise harm
  • Why humans need to be accountable for the way AI is used
  • Fairness in Machine Learning – how is this managed?
  • Machine learning for good governance
Register now

Speaking:

TRACK B Scalable and Sustainable

2:50

Thought Leadership Session: Unlocking your investment in Customer Data

Why is it that organisations continue to invest heavily in Customer Experience; on a myriad of products and services, and yet many complain that they don't have a handle on their data, a clear definition of customer, or the ability to create a single customer view that can be enriched by advanced analytics to deliver truly personalised experiences. To overcome these challenges, organisations need to take a few steps back and invest in the basics and strengthen their data and analytics foundations to leapfrog the competition. In this session, we will present our learnings from the field across industry, customer data frameworks, and the things we’ve seen work for our clients.

  • What are we investing in, and why does it continue to fail to deliver customer data and analytics?
  • How do we evaluate what capability gaps exist?
  • What emerging technologies exist? 
  • Build or buy: What principles will guide our decision?
  • How does it all come together to deliver the CX promise?
  • A data and analytics roadmap for CX

Speaking:

Alan Bluwol

Director – Customer Engagement, Servian

Thought Leadership Session: Unlocking your investment in Customer Data

August 25 | 14:50 - 15:25

Why is it that organisations continue to invest heavily in Customer Experience; on a myriad of products and services, and yet many complain that they don't have a handle on their data, a clear definition of customer, or the ability to create a single customer view that can be enriched by advanced analytics to deliver truly personalised experiences. To overcome these challenges, organisations need to take a few steps back and invest in the basics and strengthen their data and analytics foundations to leapfrog the competition. In this session, we will present our learnings from the field across industry, customer data frameworks, and the things we’ve seen work for our clients.

  • What are we investing in, and why does it continue to fail to deliver customer data and analytics?
  • How do we evaluate what capability gaps exist?
  • What emerging technologies exist? 
  • Build or buy: What principles will guide our decision?
  • How does it all come together to deliver the CX promise?
  • A data and analytics roadmap for CX
Register now

Speaking:

TRACK A Data Governance and Risk Management

3:25

Employing Machine Learning and Data Science to drive Data Curation

  • Optimise the return from Data Catalogue investments and accelerate Data Governance programs.
  • How to utilise Deep Learning Neural Network, Fuzzy and Graph Mathematics to drive high fidelity data discovery
  • Automating the extraction of business, operational and technical metadata 
  • Data Curation providing data context for the Data Catalogue and Business Glossary
  • Unload the Cataloguing burden from Data Stewards, reduce error, increase automation and prove higher return, and increase speed for all Catalogue deployments

Speaking:

Darren Gale

Vice President, EMEA & AsiaPac, BigID

Employing Machine Learning and Data Science to drive Data Curation

June 23 | 15:25 - 16:00

  • Optimise the return from Data Catalogue investments and accelerate Data Governance programs.
  • How to utilise Deep Learning Neural Network, Fuzzy and Graph Mathematics to drive high fidelity data discovery
  • Automating the extraction of business, operational and technical metadata 
  • Data Curation providing data context for the Data Catalogue and Business Glossary
  • Unload the Cataloguing burden from Data Stewards, reduce error, increase automation and prove higher return, and increase speed for all Catalogue deployments
Register now

Speaking:

TRACK B Scalable and Sustainable

3:25

Case study: Awaken Data Investment and Opportunity – and Treat Data as a Strategic Asset

Speaking:

Rakesh Kalyankar

Head of Data & Insights, AusNet Services

Case study: Awaken Data Investment and Opportunity – and Treat Data as a Strategic Asset

August 25 | 15:25 - 16:00

Register now

Speaking:

TRACK C Interactive Discussion Groups Day 2

3:25

Discussion Group: Tackling the Inherent Tensions of the Data Marketplace

Infonomics is increasingly becoming common practice in many large organisations, particularly concerning data sharing.

  • What are some practical examples of profitable data sharing arrangements?
  • Sharing data generates revenue, but because of GDPR there is increasing awareness of Personally Identifiable Data. What is the way forward?
  • An update on the increasing regulation around data security
  • Cost versus benefit of sharing data: When is it too high?

Speaking:

Discussion Group: Tackling the Inherent Tensions of the Data Marketplace

August 25 | 15:25 - 16:00

Infonomics is increasingly becoming common practice in many large organisations, particularly concerning data sharing.

  • What are some practical examples of profitable data sharing arrangements?
  • Sharing data generates revenue, but because of GDPR there is increasing awareness of Personally Identifiable Data. What is the way forward?
  • An update on the increasing regulation around data security
  • Cost versus benefit of sharing data: When is it too high?
Register now

Speaking:

4:00

Get Refreshed! Mingle

Get Refreshed! Mingle

August 25 | 16:00 - 16:30

Register now

Speaking:

4:30

Thought leadership session

Speaking:

Thought leadership session

August 25 | 16:30 - 16:55

Register now

Speaking:

4:30

VIP Think-Tank – Invite only What’s Next for the Intelligent Enterprise? Trends, Talent & Technology

This closed door conversation will focus on “Too Hot To Touch” topics. There's no holding back in our candid discussions held. How better to get to know what your peers really think?

Speaking:

VIP Think-Tank – Invite only What’s Next for the Intelligent Enterprise? Trends, Talent & Technology

August 25 | 16:30 - 17:30

This closed door conversation will focus on “Too Hot To Touch” topics. There's no holding back in our candid discussions held. How better to get to know what your peers really think?

Register now

Speaking:

4:55

Lightening Talks: Business Decisions Showcase

Revealed: How organisations have completed a data/analytics project that ended up providing valuable business insights - see step-by-step how they:

1.) Planned

2.) Built and

3.) Used it.

These organisations will take you through their project for 10 minutes, no waffle all substance.

Speaking:

Sandhya Iyer

Head of Data Governance, Strategy & Culture, Latitude Financial Services

Lightening Talks: Business Decisions Showcase

August 25 | 16:55 - 17:15

Revealed: How organisations have completed a data/analytics project that ended up providing valuable business insights - see step-by-step how they:

1.) Planned

2.) Built and

3.) Used it.

These organisations will take you through their project for 10 minutes, no waffle all substance.

Register now

Speaking:

5:15

End of CDAO Day 1 - Now Cheers with Peers!

Opportunity to continue the conversations in the cocktail reception.

End of CDAO Day 1 - Now Cheers with Peers!

August 25 | 17:15

Opportunity to continue the conversations in the cocktail reception.

Register now

Speaking:

Day Two Conference - Thursday 26th August
08:20

Register, grab coffee and say hello.

Register, grab coffee and say hello.

August 26 | 08:20 - 08:50

Register now

Speaking:

08:50

Welcome and Chair’s Opening Remarks

Speaking:

Welcome and Chair’s Opening Remarks

August 26 | 08:50 - 09:00

Register now

Speaking:

09:00

Keynote Presentation: What’s required of data & analytics teams in the future - and their leaders?

  • Future skill set and key data roles
  • Embedding data into business DNA and decision making
  • Key considerations: data products mindset; data partnerships; data literacy, self-service and citizen data scientists
  • Building a high performing team, and retaining it
  • Defining a vision, obtaining Executive buy-in and setting the right expectations

Speaking:

David Black

Head of Data Product & Strategy, Flybuys

Keynote Presentation: What’s required of data & analytics teams in the future - and their leaders?

August 26 | 09:00 - 09:25

  • Future skill set and key data roles
  • Embedding data into business DNA and decision making
  • Key considerations: data products mindset; data partnerships; data literacy, self-service and citizen data scientists
  • Building a high performing team, and retaining it
  • Defining a vision, obtaining Executive buy-in and setting the right expectations
Register now

Speaking:

09:25

Are you future-fit for the “Rise of the Augmented Consumer”?

Gartner identifies “the rise of the augmented consumer” a top trend for data and analytics.  Why?  

Many users today use predefined dashboards and manual data exploration that lead to false conclusions, resulting in incorrect decisions. In the near future these dashboards will be replaced with “automated, conversational, mobile, and dynamically generated insights customised to a user’s needs and delivered to their point of consumption” - the augmented consumer.

So how prepared is your organisation and how can you fast track your capabilities to stay ahead of the trend?  Glen Rabie, CEO and Co-founder of Yellowfin, highlights the top three things you must act on now.

Speaking:

Glen Rabie

CEO and Co-founder, Yellowfin

Are you future-fit for the “Rise of the Augmented Consumer”?

August 26 | 09:25 - 09:50

Gartner identifies “the rise of the augmented consumer” a top trend for data and analytics.  Why?  

Many users today use predefined dashboards and manual data exploration that lead to false conclusions, resulting in incorrect decisions. In the near future these dashboards will be replaced with “automated, conversational, mobile, and dynamically generated insights customised to a user’s needs and delivered to their point of consumption” - the augmented consumer.

So how prepared is your organisation and how can you fast track your capabilities to stay ahead of the trend?  Glen Rabie, CEO and Co-founder of Yellowfin, highlights the top three things you must act on now.

Register now

Speaking:

09:50

Keynote Perspectives Panel: Culture is King: Fostering a Culture to Support the Latest Tech

We know that prioritising data is something that comes from the top management – but how do we get this to happen? This panel will examine:

  • Becoming a truly data enabled business - What organisational culture is required?
  • Accelerating change through technology.
  • Establishing a start-up-like culture to foster innovation
  • Adjusting strategies to emphasise data and analytics
  • How your analytics team can involve the sponsors on the journey with them
  • How to get your execs to ask for what they truly need
  • What does it mean to embrace a data culture?
  • How do data and analytics help execs to sell their story?
  • Why you need to know your stakeholders and know their data level of maturity
  • How to you take them on the journey of what they can achieve with the data

 

Speaking:

Orla Glynn

Chief Data Officer, AGL Energy

Violetta Misiorek

Principal Consultant, Data Science, Digital Distribution, Suncorp Group

Eugene Dozortsev

Head of Enterprise Data, BI and Analytics, Tabcorp

Christine Lee

Head of Customer Insights and Analytics, Marketing, SEEK Group

Keynote Perspectives Panel: Culture is King: Fostering a Culture to Support the Latest Tech

August 26 | 09:50 - 10:25

We know that prioritising data is something that comes from the top management – but how do we get this to happen? This panel will examine:

  • Becoming a truly data enabled business - What organisational culture is required?
  • Accelerating change through technology.
  • Establishing a start-up-like culture to foster innovation
  • Adjusting strategies to emphasise data and analytics
  • How your analytics team can involve the sponsors on the journey with them
  • How to get your execs to ask for what they truly need
  • What does it mean to embrace a data culture?
  • How do data and analytics help execs to sell their story?
  • Why you need to know your stakeholders and know their data level of maturity
  • How to you take them on the journey of what they can achieve with the data

 

Register now

Speaking:

10:25

The Fastest Path to Business Value: Modernization with Data Lineage, Data Catalog, and Visualization

In this session we will discuss the issues facing most organizations with lack of visibility, documentation, legacy systems, and how to quickly move and modernize your enterprise architecture.  Auto-documentation, data lineage, impact analysis, and business semantic graphing that brings an incredible level of visibility, auditability and context to the entire organization. Many companies are able to change the landscape in just a few short months with modern cataloging and harvesting options.  We’ll discuss how we got here, and how we can get to where we want to be with real sustainability and value.

Speaking:

Sam Benedict

VP of Solution Strategist, Quest | erwin Data Intelligence Suite

The Fastest Path to Business Value: Modernization with Data Lineage, Data Catalog, and Visualization

August 26 | 10:25 - 10:50

In this session we will discuss the issues facing most organizations with lack of visibility, documentation, legacy systems, and how to quickly move and modernize your enterprise architecture.  Auto-documentation, data lineage, impact analysis, and business semantic graphing that brings an incredible level of visibility, auditability and context to the entire organization. Many companies are able to change the landscape in just a few short months with modern cataloging and harvesting options.  We’ll discuss how we got here, and how we can get to where we want to be with real sustainability and value.

Register now

Speaking:

10:50

Get Refreshed! Mingle

Get Refreshed! Mingle

August 26 | 10:50 - 11:20

Register now

Speaking:

11:20

Keynote Case Study: Data Governance transformation for data risk reduction

MLC Life Insurance recently completed a four year, $600m technology project to re-platform a new life insurance company separated from NAB.  This included the migration of 40 years of data from NAB’s legacy systems into MLC Life’s newly implemented life insurance platforms.  With new systems, and old data, MLC Life embarked on a Data Governance transformation program in early 2020 to manage its data risk post its NAB separation. It is rare in Australia for a large $2bn+ revenue business to execute this breadth of greenfield data governance initiative, in the middle of COVID, covering everything from strategy, frameworks, technology, people and processes.   The lessons learnt, battle scars and practical insights generated from this program will be timely to delegates planning for, or struggling with, some part of the Data Governance journey.   This will be a frank expose of the realities and challenges of data governance transformation and mobilisation from a corporate data leader perspective.

Speaking:

Darren Klein

General Manager Data & Analytics, MLC Life Insurance

Keynote Case Study: Data Governance transformation for data risk reduction

August 26 | 11:20 - 11:45

MLC Life Insurance recently completed a four year, $600m technology project to re-platform a new life insurance company separated from NAB.  This included the migration of 40 years of data from NAB’s legacy systems into MLC Life’s newly implemented life insurance platforms.  With new systems, and old data, MLC Life embarked on a Data Governance transformation program in early 2020 to manage its data risk post its NAB separation. It is rare in Australia for a large $2bn+ revenue business to execute this breadth of greenfield data governance initiative, in the middle of COVID, covering everything from strategy, frameworks, technology, people and processes.   The lessons learnt, battle scars and practical insights generated from this program will be timely to delegates planning for, or struggling with, some part of the Data Governance journey.   This will be a frank expose of the realities and challenges of data governance transformation and mobilisation from a corporate data leader perspective.

Register now

Speaking:

11:45

Thought leadership session

Thought leadership session

August 26 | 11:45 - 12:10

Register now

Speaking:

12:10

Keynote panel: Viewing Data Governance through a Risk Lens

  • Deciding the critical data elements of each business
  • A risk based approach to data quality and lineage
  • Private information and how to manage it
  • Ensuring Data risk is minimised from a strategic and operational point of view
  • Managing issues of stewardship and custodianship
  • Where is our data and what data do we have? Why is there a habit of always collecting?
  • Life cycle management and data disposal
  • How the data asset is required, acquired and used
  • Using awareness and education to encourage business units to take more ownership of their data
  • Bringing the data under the appropriate technical controls

Speaking:

Trisha Lee

Head of Data Risk & Compliance, ANZ

Nitish Mathew

Global Head of Data Engineering, Afterpay

Keynote panel: Viewing Data Governance through a Risk Lens

August 26 | 12:10 - 12:45

  • Deciding the critical data elements of each business
  • A risk based approach to data quality and lineage
  • Private information and how to manage it
  • Ensuring Data risk is minimised from a strategic and operational point of view
  • Managing issues of stewardship and custodianship
  • Where is our data and what data do we have? Why is there a habit of always collecting?
  • Life cycle management and data disposal
  • How the data asset is required, acquired and used
  • Using awareness and education to encourage business units to take more ownership of their data
  • Bringing the data under the appropriate technical controls
Register now

Speaking:

12:45

Lunch! Enjoy downtime with experts in the Speaker Conversation Corner

Lunch! Enjoy downtime with experts in the Speaker Conversation Corner

August 26 | 12:45 - 13:50

Register now

Speaking:

TRACK A Data Governance and Risk Management Day 2

1:50

Maturing Capabilities through an Enterprise Data Governance Program

Data is everywhere. High volumes of data, stricter regulatory and quality requirements and growing cyber threats are major challenges for many organisations. This speaker will share how it is establishing new capabilities to strengthen the governance and management of its data and how that supports a data strategy

  • The link between data governance and data strategy.
  • Articulating a strategic approach to solving data governance challenges.
  • Gap analysis and maturity assessments to highlight the need for change.
  • The importance of a strategic approach to engagement and executive buy-in.
  • Developing fit for purpose data operating models.
  • Delivering data governance as a service by realising the benefits of data governance capabilities.

 

Speaking:

Daniel Doyle

Head of Data Management, Future Fund

Maturing Capabilities through an Enterprise Data Governance Program

August 26 | 13:50 - 14:25

Data is everywhere. High volumes of data, stricter regulatory and quality requirements and growing cyber threats are major challenges for many organisations. This speaker will share how it is establishing new capabilities to strengthen the governance and management of its data and how that supports a data strategy

  • The link between data governance and data strategy.
  • Articulating a strategic approach to solving data governance challenges.
  • Gap analysis and maturity assessments to highlight the need for change.
  • The importance of a strategic approach to engagement and executive buy-in.
  • Developing fit for purpose data operating models.
  • Delivering data governance as a service by realising the benefits of data governance capabilities.

 

Register now

Speaking:

TRACK B Data Innovation

1:50

Thought Leadership Session

Thought Leadership Session

August 26 | 13:50 - 14:25

Register now

Speaking:

TRACK C Interactive Discussion Groups Day 1

1:50

Discussion Group: Understanding if and how AI may add value to your business

  • Is today’s AI simply yesterday’s statistical modelling?
  • Where does the value of AI really lie compared to simpler, faster, and cheaper methods of advanced analytics?
  • Is the value in the technology or the business challenge/opportunity?

 

Speaking:

Discussion Group: Understanding if and how AI may add value to your business

August 26 | 13:50 - 14:25

  • Is today’s AI simply yesterday’s statistical modelling?
  • Where does the value of AI really lie compared to simpler, faster, and cheaper methods of advanced analytics?
  • Is the value in the technology or the business challenge/opportunity?

 

Register now

Speaking:

TRACK A Data Governance and Risk Management Day 2

2:25

Thought Leadership Session: Leveraging Data Virtualization to Protect Data Privacy

Compliance with privacy and security regulations such as GDPR is tricky since data is often stored across myriad heterogeneous data sources, both on-premises and in the cloud. These regulations require companies to report on where specific records are stored, where they may have been transferred to, and who has the authority to view this data. In addition, they will need to track all transactions that involve the selling of personal information.

Data virtualization provides companies with fine-grained control over sensitive customer information stored across multiple systems by establishing a single, unified access layer across on-premises and off-premises systems.

In this session, you will learn:

  • Customising security policies in the data abstraction layer.
  • Centralising security when data is spread across multiple systems.
  • Controlling and auditing data access across different regions.

Speaking:

Chris Day

Solution Architect, Denodo

Thought Leadership Session: Leveraging Data Virtualization to Protect Data Privacy

August 26 | 14:25 - 15:00

Compliance with privacy and security regulations such as GDPR is tricky since data is often stored across myriad heterogeneous data sources, both on-premises and in the cloud. These regulations require companies to report on where specific records are stored, where they may have been transferred to, and who has the authority to view this data. In addition, they will need to track all transactions that involve the selling of personal information.

Data virtualization provides companies with fine-grained control over sensitive customer information stored across multiple systems by establishing a single, unified access layer across on-premises and off-premises systems.

In this session, you will learn:

  • Customising security policies in the data abstraction layer.
  • Centralising security when data is spread across multiple systems.
  • Controlling and auditing data access across different regions.
Register now

Speaking:

TRACK B Data Innovation

2:25

Case study: Overcoming Data and Analytics Programme Barriers

What are the practical steps that can be taken to tackle common organisational barriers to the success of D&A programmes, such as:

  • Cultural resistant to change,
  • Lack of investment (funding/resource),
  • Organisational poor data literacy,
  • Lack of relevant D&A skills/staff.
  • Engagement and Prioritization
  • Expectation Setting

This talk will also look at balancing the art of the possible with your ability to deliver and meet expectations.

Speaking:

Clare Kitching

Head of Advanced Analytics, Wesfarmers

Case study: Overcoming Data and Analytics Programme Barriers

August 26 | 14:25 - 15:00

What are the practical steps that can be taken to tackle common organisational barriers to the success of D&A programmes, such as:

  • Cultural resistant to change,
  • Lack of investment (funding/resource),
  • Organisational poor data literacy,
  • Lack of relevant D&A skills/staff.
  • Engagement and Prioritization
  • Expectation Setting

This talk will also look at balancing the art of the possible with your ability to deliver and meet expectations.

Register now

Speaking:

TRACK C Interactive Discussion Groups Day 1

2:25

KnowledgeHub Data Science 2022

Given the rapid rate of change this session brings together the data science community to discuss their pressing challenges to deep-dive into where and how there are opportunities for progress.

  • Impact - How can products and data science outputs be embedded in business processes or decisions to realise value
  • Strategy - How to change the mind-set to engage data science along the implementation of projects to deliver value: DataOps methodology
  • Upskill - What is data science to your organisation? Are data scientists being set up to fail… do data scientists need superpowers to do it all?
  • Storytelling- Bringing data and model output/metrics to life that various stakeholders can understand and act on
  • Curiosity – How to keep asking 'why' and 'what if' about the real world problem you are trying to build a solution to solve

KnowledgeHub Data Science 2022

August 26 | 14:25 - 15:00

Given the rapid rate of change this session brings together the data science community to discuss their pressing challenges to deep-dive into where and how there are opportunities for progress.

  • Impact - How can products and data science outputs be embedded in business processes or decisions to realise value
  • Strategy - How to change the mind-set to engage data science along the implementation of projects to deliver value: DataOps methodology
  • Upskill - What is data science to your organisation? Are data scientists being set up to fail… do data scientists need superpowers to do it all?
  • Storytelling- Bringing data and model output/metrics to life that various stakeholders can understand and act on
  • Curiosity – How to keep asking 'why' and 'what if' about the real world problem you are trying to build a solution to solve
Register now

Speaking:

TRACK A Data Governance and Risk Management Day 2

3:00

Case study Building a Data Privacy Culture

The core tenants of a data driven culture are: data consolidation, access to data, education & awareness, and decision empowerment.

  • What are some practical examples of said steps being implemented at organisations?
  • Policies and procedures around acceptable behaviour
  • Training to ensure the business can meet the above needs
  • Privacy by design: Incorporating that into data so that it spreads out across the organisation
  • How do we bring data privacy to life – not just in data world, but in new products and services?
  • Building a culture of considering customer data up front

Case study Building a Data Privacy Culture

August 26 | 15:00 - 15:35

The core tenants of a data driven culture are: data consolidation, access to data, education & awareness, and decision empowerment.

  • What are some practical examples of said steps being implemented at organisations?
  • Policies and procedures around acceptable behaviour
  • Training to ensure the business can meet the above needs
  • Privacy by design: Incorporating that into data so that it spreads out across the organisation
  • How do we bring data privacy to life – not just in data world, but in new products and services?
  • Building a culture of considering customer data up front
Register now

Speaking:

TRACK B Data Innovation

3:00

The habits of highly effective data-driven organisations

In a world where data is growing exponentially, and advanced analytics and machine learning (ML) are becoming standards, why do so many organisations still struggle at executing a successful data strategy? From thousands of customers Databricks has helped, we've observed that the most common traits of successful data teams lie in evolving their technology and their culture. In this session, we'll discuss how data democratisation starts with disruptive leadership and simplifying the data architecture in order to empower data teams with the right tools and creative freedom to do their best work and harness the true power of data.

Speaking:

Bede Hackney

Country Manager, Databricks Australia & New Zealand

The habits of highly effective data-driven organisations

August 26 | 15:00 - 15:35

In a world where data is growing exponentially, and advanced analytics and machine learning (ML) are becoming standards, why do so many organisations still struggle at executing a successful data strategy? From thousands of customers Databricks has helped, we've observed that the most common traits of successful data teams lie in evolving their technology and their culture. In this session, we'll discuss how data democratisation starts with disruptive leadership and simplifying the data architecture in order to empower data teams with the right tools and creative freedom to do their best work and harness the true power of data.

Register now

Speaking:

TRACK C Interactive Discussion Groups Day 1

3:00

Insight-exchange Roundtable: Data Privacy, Protection and Principles

Delegates will choose a topic to discuss with their peers.

  • Tackling distrust in data – how data literacy programs can help overcome this.
  • How effective can protections around data be? How legally binding are they?
  • Communicating wins to the business – building a culture for data management.
  • How should data ethics inform your policy?
  • Data Quality in an environment centred on the business user.
  • Legislative Environment
  • Measuring Benefits – what are they and how do we measure them?

Insight-exchange Roundtable: Data Privacy, Protection and Principles

August 26 | 15:00 - 15:35

Delegates will choose a topic to discuss with their peers.

  • Tackling distrust in data – how data literacy programs can help overcome this.
  • How effective can protections around data be? How legally binding are they?
  • Communicating wins to the business – building a culture for data management.
  • How should data ethics inform your policy?
  • Data Quality in an environment centred on the business user.
  • Legislative Environment
  • Measuring Benefits – what are they and how do we measure them?
Register now

Speaking:

3:35

Grab a coffee, get refreshed! Mingle

Grab a coffee, get refreshed! Mingle

August 26 | 15:35 - 16:05

Register now

Speaking:

4:05

Keynote Discussion: Getting up the value chain - How do you demonstrate value in a time of uncertainty?

  • Moving up the value chain to ensure you data and analytics team is achieving its full potential
  • How to move from reporting function to strategic analytics function
  • Working on the most important business problems
  • The idea of analytics team being and order taker – becoming a partner in business problem solving that can be commotised

Keynote Discussion: Getting up the value chain - How do you demonstrate value in a time of uncertainty?

August 26 | 16:05 - 16:35

  • Moving up the value chain to ensure you data and analytics team is achieving its full potential
  • How to move from reporting function to strategic analytics function
  • Working on the most important business problems
  • The idea of analytics team being and order taker – becoming a partner in business problem solving that can be commotised
Register now

Speaking:

4:35

Closing Keynote Presentation Where is the Cognitive World Heading?

  • What are companies hoping to achieve with cognitive technologies?
  • What are the challenges in integrating your AI tools and algorithms?
  • How can you build a culture and hire the right team that supports AI and manages sceptics? What does the right team look like?
  • How are you building AI capabilities for the future to have a much bigger impact on customer experience? What initiatives have you set in place?

Speaking:

Alan Lowthorpe

GM Advanced Analytics, Advanced Analytics Centre, Wesfarmers

Closing Keynote Presentation Where is the Cognitive World Heading?

August 26 | 16:35 - 17:00

  • What are companies hoping to achieve with cognitive technologies?
  • What are the challenges in integrating your AI tools and algorithms?
  • How can you build a culture and hire the right team that supports AI and manages sceptics? What does the right team look like?
  • How are you building AI capabilities for the future to have a much bigger impact on customer experience? What initiatives have you set in place?
Register now

Speaking:

5:00

Close of CDAO Melbourne 2021

Close of CDAO Melbourne 2021

August 26 | 17:00

Register now

Speaking:

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